Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques

Enhancing Data Security in Distributed Systems Using Homomorphic Encryption and Secure Computation Techniques

Distributed systems are now an indispensable part of modern computing, and so too must be their security, with privacy-preserving computations being in high demand. Current homomorphic encryption (HE) and secure computation methods suffer from drawbacks like significant computational overhead, scala...

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Bibliographic Details
Main Authors: Parihar Bhawana, Kiran Ajmeera, Valaboju Sabitha, Rashid Syed Zahidur, Liyakat Kazi Kutubuddin Sayyad, D R Anita Sofia Liz
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:ITM Web of Conferences
Subjects:
homomorphic encryption
secure computation
distributed systems
privacy-preserving computing
multiparty computation
adversarial resilience
post-quantum security
federated learning
edge computing
scalable encryption
lightweight cryptography
bootstrapping optimization
hardware acceleration
real-time data security
network-efficient encryption
cloud security
secure data sharing
adaptive privacy framework
quantum-resistant cryptography
low-power cryptographic systems
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_02010.pdf
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https://www.itm-conferences.org/articles/itmconf/pdf/2025/07/itmconf_icsice2025_02010.pdf

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